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iai-mcp
The best open-source memory system for AI coding assistants.
The best-benchmarked open-source memory system for AI coding assistants. Your Claude or Openclaw will remember everything and you wont have to remind it what happened every session
Hi everyone, I'm Areg.
I built iai-mcp because every memory tool I tried for AI coding
assistants either forgot details I cared about or made me babysit
what was worth remembering. I wanted neither.
What it does:
- Captures every turn of every session verbatim — byte-exact, not
summarized — the moment the session ends. No "remember this"
commands.
- Consolidates during idle time into three tiers: episodic
(write-once), semantic (induced summaries from clusters),
procedural (sealed self-tuning knobs).
- Surfaces a small relevant slice of your history at the start of
each new session automatically.
- Runs as a local daemon, encrypted at rest (AES-256-GCM), zero
telemetry.
The thing I care about most: every performance claim in the README
ships with a runnable benchmark in `bench/`. Verbatim recall,
latency, RAM, token cost, contradiction handling — all of it.
Don't trust the numbers, rerun them on your machine.
I've been running this daily for months. Validated end-to-end with
Claude Code and OpenClaw. macOS only for now (Apple Silicon
tested), Linux/Windows on the way.
MIT licensed. Repo: github.com/CodeAbra/iai-mcp
Happy to answer anything — architecture choices, the three-tier
model, why the graph layer doesn't move the needle on session-shot
retrieval benchmarks (long story), or implementation gotchas.
About iai-mcp on Product Hunt
“The best open-source memory system for AI coding assistants.”
iai-mcp was submitted on Product Hunt and earned 10 upvotes and 1 comments, placing #69 on the daily leaderboard. The best-benchmarked open-source memory system for AI coding assistants. Your Claude or Openclaw will remember everything and you wont have to remind it what happened every session
On the analytics side, iai-mcp competes within Productivity, Open Source, Artificial Intelligence and GitHub — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how iai-mcp performed against the three products that launched closest to it on the same day.
Who hunted iai-mcp?
iai-mcp was hunted by Areg Noya. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of iai-mcp including community comment highlights and product details, visit the product overview.
Areg Noya